{"id":"W2901843597","doi":"10.2196/12264","title":"Using Twitter to Detect Psychological Characteristics of Self-Identified Persons With Autism Spectrum Disorder: A Feasibility Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; Weatherhead Center for International Affairs, Harvard University; National Institutes of Health; Robert Wood Johnson Foundation","keywords":"Autism spectrum disorder; Psychology; Clinical psychology; Autism; Social media; Psychiatry; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000768851,0.0002953256,0.0005421485,0.0002814095,0.0006522302,0.00007762152,0.0003685755,0.0001045936,0.0001047102],"category_scores_gemma":[0.0001075334,0.0002344365,0.00004652483,0.0009154676,0.0003759134,0.0001278292,0.0001868162,0.0004731182,0.00003696356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731378,"about_ca_system_score_gemma":0.0002941974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005042177,"about_ca_topic_score_gemma":0.0005143341,"domain_scores_codex":[0.9959547,0.0005875825,0.0005872227,0.001128569,0.0006589392,0.001083024],"domain_scores_gemma":[0.9981583,0.0001385592,0.0002719714,0.0007274589,0.00002124946,0.000682433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005174756,0.008112283,0.9364173,0.00153724,0.00003901876,0.0001402001,0.03189867,0.000001453231,0.00555225,0.003153434,0.0003823616,0.007590998],"study_design_scores_gemma":[0.00161705,0.007484415,0.9882867,0.00003731727,0.00003302226,0.000074317,0.0004235279,0.0003610175,0.0002862848,0.001009781,0.0001164103,0.0002701505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906574,0.00002857966,0.0009829939,0.005086557,0.0001597424,0.002704328,0.00004172922,0.0001373018,0.0002014012],"genre_scores_gemma":[0.9978962,0.00004006251,0.0008883917,0.0009156191,0.00008724513,0.00006902139,0.000001289423,0.00003989584,0.00006228503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05186937,"threshold_uncertainty_score":0.9560043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438268109060012,"score_gpt":0.4423204645005266,"score_spread":0.2984936535945253,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}